WARNING: This paper contains text excerpts and words that are offensive in nature.
Offensive and impolite language are pervasive in social media posts motivating a number of studies on automatically detecting the various types of offensive content (e.g. aggression [1]}, [2]}, cyber-bullying [3]}, hate speech [4]}, etc.). Most previous work has focused on classifying full instances (e.g. posts, comments, documents) (e.g. offensive vs. not offensive) while the identification of the particular spans that make a text offensive has been mostly neglected.
